A financial institution needed a Subject Matter Expert to lead its model development efforts. The challenge was to develop complex models using advanced statistical techniques, ensuring that the models aligned with both operational and regulatory requirements (e.g., IFRS9 and Basel standards). The job required expertise in model development using Python, SQL, and other best-in-class techniques for financial data preparation and analysis.

expertpowerhouse provided a Model Development Expert with over 3-5 years of experience in banking and finance, specializing in operational and regulatory models. The consultant led the development of models for applications, behavior, and collections, ensuring compliance with IFRS9 and Basel standards. They also introduced machine learning techniques like Random Forest and XGBoost to enhance model performance, while working with cloud-based platforms like AWS for deployment.

As a result, the institution successfully implemented robust models that met regulatory standards and improved operational efficiency. The introduction of machine learning techniques optimized the institution's decision-making processes and enhanced model accuracy, providing significant value to the institution's financial operations.